Since my last review, Celonis has clearly leaned hard into agentic AI. The new Context Model gives a much richer, connected view across process, data, and business knowledge, and the Agent Toolkit (built on MCP) makes it easier to plug AI agents into real workflows instead of just dashboards. The Orchestration Engine now coordinates humans, automations, and AI agents together in real time, which is a big step up from the old action-flow-only approach. Data Core also feels more scalable for handling large, messy datasets from multiple source systems. Review collected by and hosted on G2.com.

A lot of the same gaps I flagged before are still there — centralized data job/automation management and a proper credentials store still aren’t where they need to be. Connection management for automations is still clunky. Cost is still the biggest issue: pricing hasn’t gotten easier to justify, and proving ROI is still a slog, especially since Celonis keeps pushing customers toward paid consulting to get real value out of the platform rather than making the product self-serve enough on its own. Review collected by and hosted on G2.com.

I particularly appreciate the Annotation Builder, as it offers an easy way to integrate AI into a process. The Knowledge Models we have established across systems are essential. I find the integration with third-party systems great — for most systems, there are Celonis Standard Connectors. The pre-built Process Mining functions are also very helpful, as they make both data input and the sharing of Celonis Insights with various stakeholders straightforward. Review collected by and hosted on G2.com.

I find the UI-building experience sometimes lags behind, which can be annoying, and I encounter errors when creating task types. Review collected by and hosted on G2.com.

Having moved from Process Mining to a full scope Process Intelligence platform, powered by the Object-Centric Process Model, differentiates Celonis from other technologies that focus in specific parts of the process management and improvement realm. Also the fact that Celonis is now a platform where anyone can build process intelligence solutions, from simple process analysis to full process orchestration, makes it a powerful complement to any business and IT landscape. Finally, the approach to AI is brilliant. With Celonis Process Intelligence Graph as the center piece of business knowledge (not just data), Celonis can feed AI with the right business context for decision taking and agentic execution, at the same time the it serves as a perpetual monitor for all operations and actor interactions, both human and synthetic. Review collected by and hosted on G2.com.

Celonis is heavily attached to financial-based processes (P2P, O2C) and lacks foundational support to domain-based processes such as Banking or Insurance. Also, as a platform, it needs to incorporate a technical way for developers to protect their IP by allowing them to shield their source code and strategical assets. Anyone with ADMIN access can see and do anything in a specific implementation, which leaves solution building partners exclusively with contractual protection and no effective safeguards of their IP. Review collected by and hosted on G2.com.

Celonis offers a wide range of powerful features, with its Gen-AI capabilities being particularly impressive. Tools such as Copilot, Insight Explorer, and the Annotation Builder allow users to define prompts and automatically generate insights based on process data. These features continuously improve their responses by learning from user feedback, making analysis faster and more intuitive.

Another key capability of Celonis is Object-Centric Process Mining (OCPM). OCPM is especially valuable when there is a need to analyze multiple business objects simultaneously and understand how their events are interconnected. It provides end-to-end visibility across complex processes, enabling deeper insights into object relationships, event correlations, and real process behavior beyond traditional case-centric process mining. Review collected by and hosted on G2.com.

I believe there are a few areas that need improvement:

Filter Bar Module

The filter bar module has a fixed size, which limits usability. It would be beneficial to make it more flexible or responsive so it can better adapt to different screen sizes and use cases.

Copilot Response Accuracy

On the Copilot side, the responses are not always accurate. For example, when we ask for Top 10 or Top 20 results, Copilot often returns the overall dataset instead of the requested subset.

Additionally, after generating a few responses, Copilot sometimes becomes unresponsive or freezes.

Visualization Issues

The column bar chart output is not displaying correct values, whereas the table component shows accurate results for the same data. This indicates a mismatch between the data used for visualizations and tabular outputs.

Prompt Refinement Limitations

While prompt refinement helps improve results, there are limitations:

Only 10 refinements are allowed.

Only 10 recommendations can be suggested at a time.

These constraints reduce flexibility when trying to iteratively improve Copilot responses. Review collected by and hosted on G2.com.

What I like best about Celonis is how effectively it turns complex operational data into clear, actionable insights. Review collected by and hosted on G2.com.

What I dislike about Celonis mostly comes down to complexity, cost, and adoption friction, especially for organizations that are earlier in their process‑mining journey. Review collected by and hosted on G2.com.

Celonis provides a clear and visual representation of business processes,customer journeys, helping organizations understand how things are really working,also it identifies bottlenecks and inefficiencies, allowing businesses to optimize their processes for better performance. Review collected by and hosted on G2.com.

Celonis involves analyzing a lot of data, sometimes it becomes difficult to process the information, ccustomer journeys Review collected by and hosted on G2.com.

The part I like most about Celonis is it provides you with clear pictures of complex process data that are understandable by everyone on the team. Not only does it illustrate bottlenecks, but it also demonstrates what happens when you address them, making for easy prioritization. Review collected by and hosted on G2.com.

Because the tool is, by its very nature, so data-driven it is also takes a fair amount of up-front elbow grease to ensure that there’s not only clean datasets, but also that these can sit in harmony with each other. When these building blocks are set up and tested carefully, the analysis that derives from them, along with its dashboards, is so powerful and impactful. Review collected by and hosted on G2.com.

The end-to-end process transparency is what I like best. The software instantly highlights bottlenecks and compliance gaps in our operational data. This ability to visualize the actual process flow—not just the ideal one—is transformational for identifying root causes of inefficiency Review collected by and hosted on G2.com.

The initial setup and data integration phase can be complex and time-consuming, requiring significant technical effort. Additionally, the licensing model can be challenging to navigate and optimize for smaller-scale use cases within a larger organization. Review collected by and hosted on G2.com.

I like that Celonis offers the ability to see the complete flow in process mining, which I find very valuable as it helps to understand the full lifecycle of business processes. Additionally, the interpretation of this flow is easy, which is essential for making informed decisions quickly. Celonis is quite intuitive, meaning there is no steep learning curve, allowing me to adapt quickly and use the tool effectively without needing other support tools. Review collected by and hosted on G2.com.

I think Celonis could be a bit simpler for the business user. Although it is quite intuitive, simplifying it even more would be beneficial. Review collected by and hosted on G2.com.

What I truly value about Celonis is its evolution from a simple process mining tool to a comprehensive Execution Management System (EMS). The platform not only pinpoints inefficiencies but also offers actionable recommendations and automation options to address them. This transition from insight to action sets it apart in the market.

Additionally, I’m impressed by Celonis’ ability to integrate seamlessly with a wide range of systems, including ERP platforms like SAP and Oracle. This compatibility facilitates implementation without the need for extensive infrastructure changes. Its real-time data processing capabilities are also noteworthy, allowing for faster decision-making based on the latest operational data.

I also appreciate the introduction of App Store-like features, which allow users to explore pre-built applications designed for various use cases. This enhances the adoption process and tailors the experience to specific industries or departments.

Finally, Celonis’ commitment to sustainability and ESG-driven insights is refreshing. It’s encouraging to see a technology platform that aligns with broader business objectives beyond mere cost reduction. Review collected by and hosted on G2.com.

While Celonis is an impressive platform, there are a few areas where it could enhance its offerings:

Learning Curve for Advanced Features: Although the basic functionalities are intuitive, some advanced features—such as creating custom analyses or utilizing the Process Query Language (PQL)—can be challenging for newcomers. Providing more interactive tutorials or guided walkthroughs could help users get up to speed more quickly.

Performance with Large Data Sets: In instances involving very large and complex datasets, performance can occasionally lag. Optimizing the platform for massive real-time data processing would significantly improve the user experience.

More Industry-Specific Templates: While Celonis has begun to offer industry-specific applications, expanding this library with more tailored templates for niche sectors would make the platform even more accessible to a broader range of businesses.

Integration Simplicity: Although integrations with major systems are robust, connecting smaller or custom-built tools often requires technical expertise. Streamlining these integrations or offering low-code connectors could enhance accessibility for users. Review collected by and hosted on G2.com.